Senior AI & Data Engineer

Alamar Biosciences · Fremont, California

// classified as

Data Engineer (Pipelines, infra, ingestion, ETL.)

> stack

pythonsqlbigquerydatabricksdbtdeltasnowflakeairflowdagsterdbt

> description

<div class="content-intro">At Alamar, we are passionate about enabling our customers to make scientific discoveries that translate into clinical outcomes and benefit patients. Our team is growing quickly as we develop innovative approaches to measure critical protein biomarkers from liquid samples that can enable the earliest possible detection of disease. We believe the next frontier in biology is enabled by measuring proteins at higher sensitivity in highly multiplexed assays at the push of a button, which is something only Alamar can do. As we build our team, we seek collaborative, driven, intellectually curious people committed to solving complex challenges. Our culture rewards accountability and cross functional teamwork because we believe this enables the kind of breakthrough thinking that will accelerate our mission.</div>We are looking for a Senior AI & Data Engineer to join our AI team. This is a hands-on individual contributor role for someone who thinks in systems, builds with AI-native tools, and sees automation as a design discipline, not an afterthought.  The right person for this role sits at the intersection of three things: building and maintaining the data pipelines and infrastructure that power our AI platform; designing and shipping AI-enabled automations that remove friction from real workflows; and engineering AI agents and integrations that connect our data assets to decision-makers across the company. You will work closely with the Sr. Manager of AI Engineering and a small high-velocity team to deliver production systems across Alamar, including but not limited to commercial, R&D, and operations.  This is a role for someone who builds with AI as a core part of the engineering stack. You should have strong opinions about where AI belongs in a pipeline, when to automate versus when to keep a human in the loop, and how to build systems that are observable, auditable, and easy to iterate on.  Responsibilities  Data Engineering & Lakehouse  <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Build and maintain ETL/ELT pipelines ingesting structured, semi-structured, and unstructured data from systems including our CRM, ERP, ELN, and more (both internal and external) </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Implement and optimize data workflows on our data lakehouse (Delta tables, workflows, Unity Catalog) </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Write clean, testable SQL and Python for data transformation, enrichment, and delivery to downstream consumers of data including BI tools and AI agents </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Apply data governance and lineage practices from day one, including tagging, access control, and metadata management </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Work with the broader data team to evolve the lakehouse schema, ensure data quality, and reduce pipeline fragility </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Contribute to the architectural direction of the data platform as it scales to new sources and use cases </li> </ul> AI-Enabled Automation  <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Design and build AI-enabled automations that eliminate manual steps from high-friction workflows across sales, operations, R&D, and more </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Identify automation opportunities through direct engagement with end users and translate workflow pain points into executable builds </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Build and deploy automations using modern tooling including LLM APIs, MCP integrations, workflow orchestration frameworks, and low-code/no-code layers where appropriate </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Instrument automations with observability hooks so usage, failures, and performance are visible from day one </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Maintain and iterate on deployed automations based on real usage data, not assumptions utilizing an ROI framework to deliver measurable value to business stakeholders </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Design for reuse: build components and patterns that can be composed into future automations rather than one-off tools </li> </ul> AI Agent Development & Integration  <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="13" data-aria-level="1">Build and maintain AI agents that surface structured data to end users through natural language interfaces, covering use cases in commercial intelligence, R&D discovery, and operational reporting </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="13" data-aria-level="1">Implement RAG pipelines, tool-calling integrations, and memory/state patterns that make agents reliable and contextually accurate </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="13" data-aria-level="1">Integrate agents with internal systems through APIs, MCPs, and custom connectors as required </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="13" data-aria-level="1">Write evaluation frameworks and regression tests to measure agent accuracy, reliability, and drift over time </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="13" data-aria-level="1">Contribute to the Alamar AI Hub: shared libraries, governance tooling, versioning standards, and deployment patterns used across the agent portfolio </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="13" data-aria-level="1">Collaborate with all AI team members and stakeholders across Alamar on agent requirements, scoping, and delivery timelines </li> </ul> Technical Craft & AI-Native Engineering  <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="19" data-aria-level="1">Write production-quality Python across all workstreams: data pipelines, agent logic, automation scripts, and API services </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="19" data-aria-level="1">Operate with AI-native development practices: use AI coding assistants, generative tooling, and prompt engineering as standard parts of your workflow, not occasional shortcuts </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="19" data-aria-level="1">Contribute to code reviews, documentation, and engineering standards for the AI & Data team </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="19" data-aria-level="1">Stay current on the LLM and agent ecosystem; bring new tools and techniques to the team with concrete proposals for where they apply </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="19" data-aria-level="1">Debug and resolve production issues across the data and AI stack with appropriate urgency and rigor </li> </ul> Qualifications  <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="24" data-aria-level="1">3–5 years of hands-on experience in data engineering, AI/ML engineering, or a closely related software engineering role </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="24" data-aria-level="1">Strong Python programming skills; able to write clean, well-structured, production-grade code </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="24" data-aria-level="1">Practical experience building and maintaining data pipelines with modern orchestration tools (dbt, Airflow, Dagster, or equivalent) </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="24" data-aria-level="1">Hands-on experience with cloud data platforms (Databricks, Snowflake, BigQuery, or equivalent) </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="24" data-aria-level="1">Experience building with LLM APIs (Anthropic, OpenAI, Gemini, or equivalent) including prompt design, tool-calling, and RAG implementation </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="24" data-aria-level="1">Demonstrated ability to ship working automations or integrations against real systems, not just prototypes </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="24" data-aria-level="1">Solid understanding of REST APIs, data modeling, and the fundamentals of distributed systems </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="24" data-aria-level="1">Comfortable with ambiguity: able to scope work, prioritize independently, and ask the right questions without waiting for fully defined requirements </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="24" data-aria-level="1">Strong communication skills with non-technical stakeholders; able to translate workflow problems into engineering specs and explain technical tradeoffs in plain language </li> </ul> Preferred Qualifications  <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="33" data-aria-level="1">Experience working with agentic frameworks (LangChain, LangGraph, CrewAI, AutoGen, or equivalent) </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="33" data-aria-level="1">Familiarity with vector databases and embedding-based retrieval (Pinecone, pgvector, or equivalent) </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="33" data-aria-level="1">Background in life sciences, biotech, or scientific software; familiarity with LIMS and/or ELN platforms  </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="33" data-aria-level="1">Experience integrating CRM and ERP systems as data sources or automation targets </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="33" data-aria-level="1">Exposure to governance, audit logging, or compliance requirements for production AI systems </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="33" data-aria-level="1">Experience building internal tools or lightweight applications that end users actually adopt and use </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;" data-leveltext="•" data-font="Arial Nova" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="33" data-aria-level="1">Contributions to open-source AI or data engineering projects </li> </ul> The base salary range for this full-time position is $180,000 - $200,000 + bonus + equity + benefits. Our salary ranges are determined by work location, job-related skills, experience, and relevant education or training. The ranges displayed on each job posting reflect the minimum and maximum target for new hire salaries but are subject to change if the leveling of the role is adjusted. Your recruiter can share more about the specific salary range during the hiring process.